In this episode of the Empirical Energy Podcast, host Mark Smith sits down with Zach Orlin of Clean Connect.ai to explore how digital twins, AI, blockchain, and verification technologies are redefining how energy is measured, monitored, and managed.

The conversation dives deep into Luminary, a digital twin platform that enables teams to virtually map energy sites, plan monitoring equipment placement, and integrate real-time data into operational models before anything is deployed in the field. Zach explains how Luminary connects with Promax process simulation models, remote monitoring systems, and verification frameworks to reduce costs, improve efficiency, and eliminate blind spots in energy operations.

This episode also explores what’s next—from augmented reality overlays to smarter, more empirical energy markets where measurement, transparency, and real-time intelligence become the new standard.

If you’re working in energy, infrastructure, emissions monitoring, or digital transformation, this episode offers a clear look at how legacy systems are being replaced by data-driven, verifiable solutions.

⏱ Episode Chapters

00:00 Introduction to Empirical Energy

00:44 Meet Zach Orlin (Clean Connect.ai)

02:23 Digital Twins & the Luminary Platform

05:05 Virtual Site Mapping & Monitoring Design

11:11 Advanced Capabilities & Future Applications

18:13 Empirical Energy’s Broader Impact & Wrap-Up

🎧 Subscribe for conversations on energy verification, AI, blockchain, and the future of global energy markets.

#EmpiricalEnergy #DigitalTwins #EnergyTechnology #EnergyInnovation #AIinEnergy #BlockchainEnergy #EnergyMarkets #RealTimeMonitoring #EnergyManagement #CleanTech #IndustrialAI #EnergyTransition #OperationalIntelligence

In this episode of the Empirical Energy Podcast, host Mark Smith is joined by Deb Ryan from Geo Financial to discuss the seismic shift in global energy markets. They dive deep into how verification via blockchain, coupled with AI, is reshaping energy systems. Deb shares insights on her background, the methane performance certificates, and the integration of satellite data with real-time monitoring to achieve market solutions. This rich conversation touches on the evolving role of methane detection, the synergy between different technologies, and the economic drivers for emission reduction, while also offering a preview of how data fidelity is revolutionizing the industry. Tune in to find out how companies can leverage these innovative solutions for a sustainable future.

00:00 Introduction to the Empirical Energy Podcast

00:45 Meet Deb Ryan from Geo Financial

01:05 Navigating Carbon: Deb's Podcast and Background

01:40 Methane Performance Certificates and S&P Global

04:32 Challenges in Methane Detection and Solutions

05:16 Geo Financial's Satellite Data and Methane Detection

07:37 Combining Satellite and Ground Data for Better Accuracy

19:28 Market Solutions and Certified Natural Gas

21:31 The Future of Energy Trading and EACs

24:40 Conclusion and Call to Action

Don’t forget to:

👍 Like this if energy markets matter to your world

🔔 Subscribe to follow the people shaping the future of energy

💬 Share your biggest insight—traders and operators learn from each other

🔗 Pass this to someone who works behind the scenes of our energy system

#EnergyMarkets

#MethaneMonitoring

#ClimateTech

#CarbonMarkets

#EnergyTransition

#BlockchainEnergy

#AIinEnergy

#VerifiedEnergy

#CertifiedGas

#MethaneReduction

Gas scheduling, pipeline data, arbitrage, LNG globalization, AI-powered tariffs, and the rapid shift toward reliable low-carbon fuel — this conversation with Jay Bhatty shines a light on how the natural gas market is being rewritten from the inside out.

Jay shares his path from Enron to building NatGasHub into a core scheduling platform for North America, why data is the real commodity traders fight over, and how AI data centers are quietly reshaping the future of energy reliability.

Key Discussion Points

• 00:00 – Opening: the silent revolution in verified energy
• 00:44 – Jay’s journey: India → Ohio → Enron
• 02:25 – Early lessons from Enron alumni & top-tier traders
• 04:10 – Electricity shortages and why energy became Jay’s obsession
• 05:18 – The pain point that sparked NatGasHub
• 06:52 – Turning 50 pipeline websites into one streamlined platform
• 08:40 – Why empirical pipeline data gives traders an edge
• 10:22 – Automation: from whiteboards to real-time digital scheduling
• 12:15 – Arbitrage opportunities and information asymmetry
• 14:10 – The motivation behind Nat Gas Millions
• 15:55 – What new traders misunderstand about the physical market
• 17:48 – “All the money is made in the margins” — real trading war stories
• 19:35 – How geopolitical shocks hit energy markets
• 20:48 – LNG and the rise of natural gas as a global commodity
• 22:36 – AI data centers and the real priorities behind their power demand
• 24:18 – Why big tech is turning toward natural gas infrastructure
• 25:52 – The challenge of tracking low-carbon gas molecules
• 27:05 – Advice for new traders on mastering risk
• 28:20 – Using AI to decode 500-page pipeline tariffs
• 29:10 – Where to find Jay’s book & how to work with NatGasHub
• 
  

If you're in trading, infrastructure, energy technology, or you're trying to understand how physical markets actually work, this episode gives you the “behind the curtain” view.

Don’t forget to:

👍 Like this if energy markets matter to your world

🔔 Subscribe to follow the people shaping the future of energy

💬 Share your biggest insight—traders and operators learn from each other

🔗 Pass this to someone who works behind the scenes of our energy system

#EnergyTrading #NaturalGas #AIandEnergy #EnergyTech #LNG #CommodityTrading #NatGasHub #PipelineData #DataCenters #EmpiricalEnergy #LowCarbonEnergy #EnergyInfrastructure